Course
| code | CC517 |
| credit_hours | 3 |
| title | Modeling and Simulation |
| arbic title | |
| prequisites | CC319 & BA326 |
| credit hours | 3 |
| Description/Outcomes | |
| arabic Description/Outcomes | |
| objectives | • Understand the basic principles of the field of Modeling and Simulation. rn• Use the modeling of queuing systems using Markov chains. rn• Evaluate performance of queuing systems. rn• Highlight the different stages in building a discrete event simulation model and the architecture of simulation softwarern |
| arabic objectives | |
| ref. books | Averill M Low & W.David Kelton, Simulation Modeling and Analysis, 3rd edition, McGraw -Hill, 2000. |
| arabic ref. books | |
| textbook | Barry L. Nelson, Stochastic Modeling: Analysis and Simulation, McGraw - Hill, 1995. |
| arabic textbook | |
| objective set | |
| content set | |
| course file |
65_CC517_CC 517.pdf |
Course Content
| content serial |
Description |
| 1 |
Week Number 1 : Random Variables and Probability Theory.
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| 2 |
Week Number 2 : Parametric Estimation of Mean, variance, Covariance, Correlation.
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| 3 |
Week Number 3 : Joint and Conditional Distributions.
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| 4 |
Week Number 4 : Introduction to Simulation Software.
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| 5 |
Week Number 5 : Introduction to Queuing Models.
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| 6 |
Week Number 6 : Simulation models.
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| 7 |
Week Number 7 : 7th week exam + Simulation Models.
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| 8 |
Week Number 8 : Scatter Diagrams.
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| 9 |
Week Number 9 : Goodness of Fit Tests.
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| 10 |
Week Number 10 : Generation of Random variables.
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| 11 |
Week Number 11 : Random variables Generation Methods.
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| 12 |
Week Number 12 : 12th week exam + Random Variables Generation Methods.
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| 13 |
Week Number 13 : Maximum Likelihood Estimator.
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| 14 |
Week Number 14 : Stochastic and Heuristic Processes.
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| 15 |
Week Number 15 : State Diagrams.
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| 16 |
Week Number 16 : Presentation of projects and Final Exam.
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